Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning. - Amin Jalal Aghdasian; Amirhossein Heydarian Ardakani; Kianoush Aqabakee; Farzaneh Abdollahi (CoRR, 2023)

Scalable Charging Optimization of Battery Energy Storage Systems with Deep Reinforcement Learning. - Amirhossein Heydarian Ardakani; Kianoush Aqabakee; Farzaneh Abdollahi; Elham Shirazi (ISGT EUROPE, 2024)

NARX Transformer: A Dynamic Model for Leveraging Multicycle Data in Long-Term Battery State of Health Estimation. - Amirhossein Heydarian Ardakani; Seyed Ali Abdollahian; Farzaneh Abdollahi (IEEE Trans. Instrum. Meas., 2024)

Embedding Temporal Awareness in Reinforcement Learning Models for Energy System Control. - Amirhossein Heydarian Ardakani; Johann L. Hurink; Ian Gibson; Elham Shirazi (e-Energy, 2025)

Probabilistic Forecast of EV Charging Demand using Quantile Regression and LSTM with Attention Mechanism. - Silvana Matrone; Amirhossein Heydarian Ardakani; Emanuele Ogliari; Elham Shirazi; Sonia Leva (e-Energy, 2025)

Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids. - Shengyuan Yan; Farzad Vazinram; Zeynab Kaseb; Lindsay Spoor; Jochen Stiasny; Betul Mamudi; Amirhossein Heydarian Ardakani; Ugochukwu Orji; Pedro P. Vergara; Yu Xiang; Jerry Guo (CoRR, 2025)